SEO
4 Smart Tactics For Advanced Google Ads Audience Targeting
Gone are the days of solely relying on keywords to drive your PPC success.
With the relaxed keyword match types, the use of audiences in Google Ads has sophisticated tenfold.
Utilizing audience targeting is no longer an option for campaigns; it should be part of your overall campaign strategy.
Here, you’ll learn four advanced audience targeting tactics for refining your PPC targeting to leverage budget and maximize return on ad spend (ROAS).
1. Smarter Use Of Remarketing Lists For Search Ads (RLSAs)
Remarketing lists for search ads (RLSAs) allow you to customize your search ad campaigns based on the user behavior of previous website visitors, and tailor your bids/targeting options around these users when they’re searching on Google.
Example: Target people who spend over your average purchase revenue when searching for competitor brands.
This tactic will allow you to target and display ads to users that have generated a high conversion value for you historically whenever they are searching for one of your competitors on Google search, which could help you avoid losing customers to your paid competitors.
For example, an online grocery retailer could identify shoppers who spend over their average order value each week.
In this scenario, the advertiser could set up a separate campaign to target and bid on competitor terms but use RLSAs so that ads are only served whenever users within the list are searching.
This is a great way of ensuring your budget is only spent on retaining profitable customers.
If you’d like to apply this tactic to your account, you’ll first need to find the average purchase revenue per user being reported in your Google Analytics account by navigating to Monetization > Overview:
Once you’ve found the average order value figure you’ll be able to create an audience list using the audience builder via Configure > Audiences in Google Analytics:
You can set the event parameters and add any conditions:
This tactic is particularly effective in industries where consumers aren’t loyal and may often flick between different retailers for the best deal (e.g., in grocery retail).
By applying this list you could tailor your ad copy and advertise loyalty discounts to these customers to prevent them from deserting your brand for a competitor:
2. Combining Social Audiences With RLSAs
With more than 2.9 billion monthly active users, Facebook has no rival when it comes to the enormity of its audience.
While Facebook targeting can be beneficial to reach the masses, another main benefit Facebook offers lies in the potential granularity with which you can target Facebook’s users.
Unlike Google Ads, Facebook has information on what users actually “Like” or follow, and in-depth data from users’ personal profiles.
The benefits of using social ads alongside search campaigns can be huge.
For example, a recent case study from Facebook showed that the brand Bombas saw a 27-point lift in ad recall for evergreen campaigns when utilizing Custom Audience targeting.
Despite this, I still encounter tons of brands whose approach to advertising on both Facebook and Google is unaligned, and therefore they fail to share insights gained from one platform to another to maximize success.
Example: Use Facebook to uncover new potential buyers and then target these people on search to increase the likelihood of them converting.
Facebook is one of the best platforms for expanding your reach and identifying new users who aren’t actively looking for your products or services right now.
By tagging the ads you run on Facebook targeting these new audience segments, you will later be able to target ads at these users when they search Google using top-of-the-funnel keywords, increasing the likelihood of those Facebook clicks turning into new customers.
To do this, you would first need to create a new campaign on Facebook designed to target new potential customers you aren’t already targeting with your search ads (exclude existing website visitors and mailing list members):
By tagging the resulting Facebook campaign with UTM tags, any clicks from this audience will be recorded in Google Analytics under the campaign name you have set.
You’ll then be able to create an audience list in Google Analytics which consists of traffic from this particular Facebook campaign:
Remember, like any audience list you create, the list must contain at least 1,000 members before being eligible for use on Google search.
Once you’ve populated your audience list with enough traffic from Facebook, create a search campaign on Google Ads which includes only top of the funnel keywords such as informational queries related to the product/service you offer (they need to be top of the funnel because this audience isn’t specifically searching for your product/service).
Finally, apply the remarketing list to the ad groups created in your search campaign, choosing the target and bid setting, so that the search ads only show to users who are from your list of new potential customers uncovered on Facebook.
I strongly recommend this tactic if you feel like you have exhausted current demand on Google search in your industry, as it allows you to effectively create search demand by reaching new users and promoting consideration of your product or service.
You can also utilize this same strategy using Microsoft Ads to maximize your reach.
3. Using Custom Affinity Audiences
Google launched custom affinity audiences to give advertisers more granular control over audience targeting options on the display network.
This tackles the issue with regular Google Ads affinity audiences in that there isn’t a predefined affinity audience suitable for every business.
Custom affinity audience targeting can be set up by navigating to a Display campaign in Google Ads, clicking Targeting > Audience Segments > Your Custom Audience Segments > New Custom Audience.
Here you can create your own specific audience using free form interests entered as keywords and/or using URLs as a proxy for interest bundles:
In this example, the custom affinity targeting has built an audience of “Garden Enthusiasts” using interests (keywords entered) and URL targeting.
You’re able to get real-time demographic insights as you’re building the audience. This can help drive further granularity to ensure you’re targeting the right people.
While custom affinity audience targeting allows for more control on the GDN, I think it’s best used for brand building.
You can take an even more granular approach to GDN targeting by layering custom affinity audiences with other forms of targeting to increase campaign efficiency.
4. Combining In-Market Segments With Remarketing
In-market audiences allow you to set up your campaigns to reach people who are further down the funnel and are more ready to make a purchase.
Google accurately categorizes users so you can target those most interested in their offerings.
Google states that you can distinguish interest from the purchaser’s intent by leveraging real-time data and a powerful classification system based on demonstrated in-market behavior.
In-market audiences can help drive incremental conversions, helping you to connect with consumers as the last step before they make a purchase decision.
To target an in-market audience segment you would need to navigate to Targeting > In-market and life events > In-market segments.
Here you will see a list of almost 500 available in-market audiences, with the option to further granulate the high-level categories (highlighted below).
Simply click the “down” arrow on each In-Market category to drill down your desired audience.
The real impact on conversions comes when using in-market segments in conjunction with website remarketing lists.
You can layer the in-market segments on top of your remarketing lists to increase reach while maintaining a high degree of relevancy with the aim of bolstering overall conversions.
Conclusion
Paid search keyword costs continue to rise every year. If your marketing budget doesn’t increase to keep up with the shift, you’ll need to get creative to drive new demand growth.
Many advertisers are shifting huge chunks of the budget over to other platforms such as Facebook, Snapchat, and TikTok, largely due to superior audience targeting options (not searcher intent) and reduced CPCs.
With this in mind and the increased use of automation within Google Ads, I think Google will be continuing to add to its options of audience targeting in a privacy-centric way.
The PPC landscape is always changing. Make sure you keep on top of the latest features as well as test some of the tips outlined above to see whether they can deliver improved paid media results for your business.
More Resources:
Featured Image: Jirsak/Shutterstock
SEO
Google Ads To Phase Out Enhanced CPC Bidding Strategy
Google has announced plans to discontinue its Enhanced Cost-Per-Click (eCPC) bidding strategy for search and display ad campaigns.
This change, set to roll out in stages over the coming months, marks the end of an era for one of Google’s earliest smart bidding options.
Dates & Changes
Starting October 2024, new search and display ad campaigns will no longer be able to select Enhanced CPC as a bidding strategy.
However, existing eCPC campaigns will continue to function normally until March 2025.
From March 2025, all remaining search and display ad campaigns using Enhanced CPC will be automatically migrated to manual CPC bidding.
Advertisers who prefer not to change their campaigns before this date will see their bidding strategy default to manual CPC.
Impact On Display Campaigns
No immediate action is required for advertisers running display campaigns with the Maximize Clicks strategy and Enhanced CPC enabled.
These campaigns will automatically transition to the Maximize Clicks bidding strategy in March 2025.
Rationale Behind The Change
Google introduced Enhanced CPC over a decade ago as its first Smart Bidding strategy. The company has since developed more advanced machine learning-driven bidding options, such as Maximize Conversions with an optional target CPA and Maximize Conversion Value with an optional target ROAS.
In an email to affected advertisers, Google stated:
“These strategies have the potential to deliver comparable or superior outcomes. As we transition to these improved strategies, search and display ads campaigns will phase out Enhanced CPC.”
What This Means for Advertisers
This update signals Google’s continued push towards more sophisticated, AI-driven bidding strategies.
In the coming months, advertisers currently relying on Enhanced CPC will need to evaluate their options and potentially adapt their campaign management approaches.
While the change may require some initial adjustments, it also allows advertisers to explore and leverage Google’s more advanced bidding strategies, potentially improving campaign performance and efficiency.
FAQ
What change is Google implementing for Enhanced CPC bidding?
Google will discontinue the Enhanced Cost-Per-Click (eCPC) bidding strategy for search and display ad campaigns.
- New search and display ad campaigns can’t select eCPC starting October 2024.
- Existing campaigns will function with eCPC until March 2025.
- From March 2025, remaining eCPC campaigns will switch to manual CPC bidding.
How will this update impact existing campaigns using Enhanced CPC?
Campaigns using Enhanced CPC will continue as usual until March 2025. After that:
- Search and display ad campaigns employing eCPC will automatically migrate to manual CPC bidding.
- Display campaigns with Maximize Clicks and eCPC enabled will transition to the Maximize Clicks strategy in March 2025.
What are the recommended alternatives to Enhanced CPC?
Google suggests using its more advanced, AI-driven bidding strategies:
- Maximize Conversions – Can include an optional target CPA (Cost Per Acquisition).
- Maximize Conversion Value – Can include an optional target ROAS (Return on Ad Spend).
These strategies are expected to deliver comparable or superior outcomes compared to Enhanced CPC.
What should advertisers do in preparation for this change?
Advertisers need to evaluate their current reliance on Enhanced CPC and explore alternatives:
- Assess how newer AI-driven bidding strategies can be integrated into their campaigns.
- Consider transitioning some campaigns earlier to adapt to the new strategies gradually.
- Leverage tools and resources provided by Google to maximize performance and efficiency.
This proactive approach will help manage changes smoothly and explore potential performance improvements.
Featured Image: Vladimka production/Shutterstock
SEO
The 25 Biggest Traffic Losers in SaaS
We analyzed the organic traffic growth of 1,600 SaaS companies to discover the SEO strategies that work best in 2024…
…and those that work the worst.
In this article, we’re looking at the companies that lost the greatest amount of estimated organic traffic, year over year.
- We analyzed 1,600 SaaS companies and used the Ahrefs API to pull estimated monthly organic traffic data for August 2023 and August 2024.
- Companies were ranked by estimated monthly organic traffic loss as a percentage of their starting traffic.
- We’ve filtered out traffic loss caused by website migrations and URL redirects and set a minimum starting traffic threshold of 10,000 monthly organic pageviews.
This is a list of the SaaS companies that had the greatest estimated monthly organic traffic loss from August 2023 to August 2024.
Sidenote.
Our organic traffic metrics are estimates, and not necessarily reflective of the company’s actual traffic (only they know that). Traffic loss is not always bad, and there are plenty of reasons why companies may choose to delete pages and sacrifice keyword rankings.
Rank | Company | Change | Monthly Organic Traffic 2023 | Monthly Organic Traffic 2024 | Traffic Loss |
---|---|---|---|---|---|
1 | Causal | -99.52% | 307,158 | 1,485 | -305,673 |
2 | Contently | -97.16% | 276,885 | 7,866 | -269,019 |
3 | Datanyze | -95.46% | 486,626 | 22,077 | -464,549 |
4 | BetterCloud | -94.14% | 42,468 | 2,489 | -39,979 |
5 | Ricotta Trivia | -91.46% | 193,713 | 16,551 | -177,162 |
6 | Colourbox | -85.43% | 67,883 | 9,888 | -57,995 |
7 | Tabnine | -84.32% | 160,328 | 25,142 | -135,186 |
8 | AppFollow | -83.72% | 35,329 | 5,753 | -29,576 |
9 | Serverless | -80.61% | 37,896 | 7,348 | -30,548 |
10 | UserGuiding | -80.50% | 115,067 | 22,435 | -92,632 |
11 | Hopin | -79.25% | 19,581 | 4,064 | -15,517 |
12 | Writer | -78.32% | 2,460,359 | 533,288 | -1,927,071 |
13 | NeverBounce by ZoomInfo | -77.91% | 552,780 | 122,082 | -430,698 |
14 | ZoomInfo | -76.11% | 5,192,624 | 1,240,481 | -3,952,143 |
15 | Sakari | -73.76% | 27,084 | 7,106 | -19,978 |
16 | Frase | -71.39% | 83,569 | 23,907 | -59,662 |
17 | LiveAgent | -70.03% | 322,613 | 96,700 | -225,913 |
18 | Scoro | -70.01% | 51,701 | 15,505 | -36,196 |
19 | accessiBe | -69.45% | 111,877 | 34,177 | -77,700 |
20 | Olist | -67.51% | 204,298 | 66,386 | -137,912 |
21 | Hevo Data | -66.96% | 235,427 | 77,781 | -157,646 |
22 | TextGears | -66.68% | 19,679 | 6,558 | -13,121 |
23 | Unbabel | -66.40% | 45,987 | 15,450 | -30,537 |
24 | Courier | -66.03% | 35,300 | 11,992 | -23,308 |
25 | G2 | -65.74% | 4,397,226 | 1,506,545 | -2,890,681 |
For each of the top five companies, I ran a five-minute analysis using Ahrefs Site Explorer to understand what may have caused their traffic decline.
Possible explanations include Google penalties, programmatic SEO, and AI content.
Causal | 2023 | 2024 | Absolute change | Percent change |
---|---|---|---|---|
Organic traffic | 307,158 | 1,485 | -305,673 | -99.52% |
Organic pages | 5,868 | 547 | -5,321 | -90.68% |
Organic keywords | 222,777 | 4,023 | -218,754 | -98.19% |
Keywords in top 3 | 8,969 | 26 | -8943 | -99.71% |
Causal is a finance platform for startups. They lost an estimated 99.52% of their organic traffic as a result of a Google manual penalty:
This story might sound familiar. Causal became internet-famous for an “SEO heist” that saw them clone a competitor’s sitemap and use generative AI to publish 1,800 low-quality articles like this:
Google caught wind and promptly issued a manual penalty. Causal lost hundreds of rankings and hundreds of thousands of pageviews, virtually overnight:
As the Ahrefs SEO Toolbar shows, the offending blog posts are now 301 redirected to the company’s (now much better, much more human-looking) blog homepage:
Contently | 2023 | 2024 | Absolute change | Percent change |
---|---|---|---|---|
Organic traffic | 276,885 | 7,866 | -269,019 | -97.16% |
Organic pages | 32,752 | 1,121 | -31,631 | -96.58% |
Organic keywords | 94,706 | 12,000 | -82,706 | -87.33% |
Keywords in top 3 | 1,874 | 68 | -1,806 | -96.37% |
Contently is a content marketing platform. They lost 97% of their estimated organic traffic by removing thousands of user-generated pages.
Almost all of the website’s traffic loss seems to stem from deindexing the subdomains used to host their members’ writing portfolios:
A quick Google search for “contently writer portfolios” suggests that the company made the deliberate decision to deindex all writer portfolios by default, and only relist them once they’ve been manually vetted and approved:
We can see that these portfolio subdomains are now 302 redirected back to Contently’s homepage:
And looking at the keyword rankings Contently lost in the process, it’s easy to guess why this change was necessary. It looks like the free portfolio subdomains were being abused to promote CBD gummies and pirated movies:
Datanyze | 2023 | 2024 | Absolute change | Percent change |
---|---|---|---|---|
Organic traffic | 486,626 | 22,077 | -464,549 | -95.46% |
Organic pages | 1,168,889 | 377,142 | -791,747 | -67.74% |
Organic keywords | 2,565,527 | 712,270 | -1,853,257 | -72.24% |
Keywords in top 3 | 7,475 | 177 | -7,298 | -97.63% |
Datanyze provides contact data for sales prospecting. They lost 96% of their estimated organic traffic, possibly as a result of programmatic content that Google has since deemed too low quality to rank.
Looking at the Site Structure report in Ahrefs, we can see over 80% of the website’s organic traffic loss is isolated to the /companies and /people subfolders:
Looking at some of the pages in these subfolders, it looks like Datanyze built thousands of programmatic landing pages to help promote the people and companies the company offers data for:
As a result, the majority of Datanyze’s dropped keyword rankings are names of people and companies:
Many of these pages still return 200 HTTP status codes, and a Google site search still shows hundreds of indexed pages:
In this case, not all of the programmatic pages have been deleted—instead, it’s possible that Google has decided to rerank these pages into much lower positions and drop them from most SERPs.
BetterCloud | 2023 | 2024 | Absolute change | Percent change |
---|---|---|---|---|
Organic traffic | 42,468 | 2,489 | -39,979 | -94.14% |
Organic pages | 1,643 | 504 | -1,139 | -69.32% |
Organic keywords | 107,817 | 5,806 | -102,011 | -94.61% |
Keywords in top 3 | 1,550 | 32 | -1,518 | -97.94% |
Bettercloud is a SaaS spend management platform. They lost 94% of their estimated organic traffic around the time of Google’s November Core Update:
Looking at the Top Pages report for BetterCloud, most of the traffic loss can be traced back to a now-deleted /academy subfolder:
The pages in the subfolder are now deleted, but by using Ahrefs’ Page Inspect feature, it’s possible to look at a snapshot of some of the pages’ HTML content.
This short, extremely generic article on “How to Delete an Unwanted Page in Google Docs” looks a lot like basic AI-generated content:
This is the type of content that Google has been keen to demote from the SERPs.
Given the timing of the website’s traffic drop (a small decline after the October core update, and a precipitous decline after the November core update), it’s possible that Google demoted the site after an AI content generation experiment.
Ricotta Trivia | 2023 | 2024 | Absolute change | Percent change |
---|---|---|---|---|
Organic traffic | 193,713 | 16,551 | -177,162 | -91.46% |
Organic pages | 218 | 231 | 13 | 5.96% |
Organic keywords | 83,988 | 37,640 | -46,348 | -55.18% |
Keywords in top 3 | 3,124 | 275 | -2,849 | -91.20% |
Ricotta Trivia is a Slack add-on that offers icebreakers and team-building games. They lost an estimated 91% of their monthly organic traffic, possibly because of thin content and poor on-page experience on their blog.
Looking at the Site Structure report, 99.7% of the company’s traffic loss is isolated to the /blog subfolder:
Digging into the Organic keywords report, we can see that the website has lost hundreds of first-page rankings for high-volume keywords like get to know you questions, funny team names, and question of the day:
While these keywords seem strongly related to the company’s core business, the article content itself seems very thin—and the page is covered with intrusive advertising banners and pop-ups (a common hypothesis for why some sites were negatively impacted by recent Google updates):
The site seems to show a small recovery on the back of the August 2024 core update—so there may be hope yet.
Final thoughts
All of the data for this article comes from Ahrefs. Want to research your competitors in the same way? Check out Site Explorer.
SEO
Mediavine Bans Publisher For Overuse Of AI-Generated Content
According to details surfacing online, ad management firm Mediavine is terminating publishers’ accounts for overusing AI.
Mediavine is a leading ad management company providing products and services to help website publishers monetize their content.
The company holds elite status as a Google Certified Publishing Partner, which indicates that it meets Google’s highest standards and requirements for ad networks and exchanges.
AI Content Triggers Account Terminations
The terminations came to light in a post on the Reddit forum r/Blogging, where a user shared an email they received from Mediavine citing “overuse of artificially created content.”
Trista Jensen, Mediavine’s Director of Ad Operations & Market Quality, states in the email:
“Our third party content quality tools have flagged your sites for overuse of artificially created content. Further internal investigation has confirmed those findings.”
Jensen stated that due to the overuse of AI content, “our top partners will stop spending on your sites, which will negatively affect future monetization efforts.”
Consequently, Mediavine terminated the publisher’s account “effective immediately.”
The Risks Of Low-Quality AI Content
This strict enforcement aligns with Mediavine’s publicly stated policy prohibiting websites from using “low-quality, mass-produced, unedited or undisclosed AI content that is scraped from other websites.”
In a March 7 blog post titled “AI and Our Commitment to a Creator-First Future,” the company declared opposition to low-value AI content that could “devalue the contributions of legitimate content creators.”
Mediavine warned in the post:
“Without publishers, there is no open web. There is no content to train the models that power AI. There is no internet.”
The company says it’s using its platform to “advocate for publishers” and uphold quality standards in the face of AI’s disruptive potential.
Mediavine states:
“We’re also developing faster, automated tools to help us identify low-quality, mass-produced AI content across the web.”
Targeting ‘AI Clickbait Kingpin’ Tactics
While the Reddit user’s identity wasn’t disclosed, the incident has drawn connections to the tactics of Nebojša Vujinović Vujo, who was dubbed an “AI Clickbait Kingpin” in a recent Wired exposé.
According to Wired, Vujo acquired over 2,000 dormant domains and populated them with AI-generated, search-optimized content designed purely to capture ad revenue.
His strategies represent the low-quality, artificial content Mediavine has vowed to prohibit.
Potential Implications
Lost Revenue
Mediavine’s terminations highlight potential implications for publishers that rely on artificial intelligence to generate website content at scale.
Perhaps the most immediate and tangible implication is the risk of losing ad revenue.
For publishers that depend heavily on programmatic advertising or sponsored content deals as key revenue drivers, being blocked from major ad networks could devastate their business models.
Devalued Domains
Another potential impact is the devaluation of domains and websites built primarily on AI-generated content.
If this pattern of AI content overuse triggers account terminations from companies like Mediavine, it could drastically diminish the value proposition of scooping up these domains.
Damaged Reputations & Brands
Beyond the lost monetization opportunities, publishers leaning too heavily into automated AI content also risk permanent reputational damage to their brands.
Once a determining authority flags a website for AI overuse, it could impact how that site is perceived by readers, other industry partners, and search engines.
In Summary
AI has value as an assistive tool for publishers, but relying heavily on automated content creation poses significant risks.
These include monetization challenges, potential reputation damage, and increasing regulatory scrutiny. Mediavine’s strict policy illustrates the possible consequences for publishers.
It’s important to note that Mediavine’s move to terminate publisher accounts over AI content overuse represents an independent policy stance taken by the ad management firm itself.
The action doesn’t directly reflect the content policies or enforcement positions of Google, whose publishing partner program Mediavine is certified under.
We have reached out to Mediavine requesting a comment on this story. We’ll update this article with more information when it’s provided.
Featured Image: Simple Line/Shutterstock
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